| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Morphing Attack Detection | MD#4 (test) | D-EER15.31 | 20 | |
| Morphing Attack Detection | MD #3 | D-EER4 | 20 | |
| Melanoma Classification | Md Dermoscopic source (train) | Recall81.56 | 16 | |
| Offensiveness detection | MD (test) | Accuracy83.55 | 14 | |
| Energy Prediction | rMD17 | Aspirin MAE (meV)2.1 | 10 | |
| State-to-State (S2S) Prediction | MD17 | S2S Prediction Error (Aspirin)6.82 | 9 | |
| Trajectory Generation | MD scenario | Online Cost1.61 | 7 | |
| Subjectivity Analysis | MD | Accuracy76.41 | 7 | |
| Energy and Force Prediction | rMD17 Azobenzene | Energy MAE (meV)5.4 | 5 | |
| Markdown conversion | MD 82 images (val) | F1 Score86.71 | 5 | |
| SCF convergence | MD17 ethanol | Avg Iteration Reduction68.6 | 3 | |
| Structure-to-Trajectory Prediction | Revised MD17 | Azobenzene Deviation8.38 | 2 | |
| Hamiltonian Dynamics Modeling | MD 16 particles | Rec MSE (10^-7)5.78 | 2 | |
| Hamiltonian Dynamics Modeling | MD 4 particles | Rec MSE (10^-7)23.41 | 2 |